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[MPA/OTX] Apply changes in develop to otx branch #105
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goodsong81
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Dec 12, 2022
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goodsong81
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- OTX PR: [OTX] Apply changes in develop to feature/otx branch training_extensions#1436
* update tiling * update det stage * update * remove redundant configure hyperparams * remove configure_hyperparams * update * update * update evaluation IoU to 0:5:0.95:0.05 * update * update inferrer * update inferrer * add todo to exporter * adapter detection inferrer for tiling * fix bug * revert unnecessary changes * fix typo and add minor change
* minor update recipe for classification enable randomseed, deterministic * enable multi-batch validation for detection * edit val batch if there is noconfig for train batch
* devide runners * fix cls runner * revert changes back * minor
* move ema model to hook * delete cls_runner
* Per-group softmax output (#74) * Add heads configuration checks * Minor fix Signed-off-by: Songki Choi <songki.choi@intel.com> Co-authored-by: Vladisalv Sovrasov <sovrasov.vlad@gmail.com>
Signed-off-by: Yunchu Lee <yunchu.lee@intel.com>
* Don't activate multilabel logits on export * Don't activate outputs in all classificaiton heads
* Del trailing spaces * Del unused key converter
* support ReciproCAM for cls * remove torch.tensor warnings * optimize reciproCAM mosaic_feature_map generation
* SaliencyMapHookDet support * redefine simple_test in SAMDetectorMixin * add docstring * renamed
* add simple_test two-stage * two-path for saliency map exporting * two-stage detector exception for simple test * remove assertion for class-wise saliency map * fix assertion error in the tiling det
* add simple_test two-stage * two-path for saliency map exporting * two-stage detector exception for simple test * remove assertion for class-wise saliency map * fix assertion error in the tiling det
Doing otherwise might corrupt the model. Fixes #90.
* [XAI] hot-fix of error in Detection XAI support (#98) * add simple_test two-stage * two-path for saliency map exporting * two-stage detector exception for simple test * remove assertion for class-wise saliency map * fix assertion error in the tiling det * handle two stage detectorin the inferrer.py * handle two stage detectorin the inferrer.py * handle two stage detectorin the inferrer.py * handle from detector instance checking * accept tuple data
Merged
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* [XAI] hot-fix of error in Detection XAI support (#99) * add simple_test two-stage * two-path for saliency map exporting * two-stage detector exception for simple test * remove assertion for class-wise saliency map * fix assertion error in the tiling det * fix two stage detector saliency map error
goodsong81
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Dec 15, 2022
mpa/det/inferrer.py
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| eval = kwargs.pop('eval', False) | ||
| dump_features = kwargs.pop('dump_features', False) | ||
| dump_saliency_map = kwargs.pop('dump_saliency_map', False) |
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@eugene123tw Specific reason?
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negvet
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Dec 19, 2022
sovrasov
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Dec 19, 2022
* [XAI] hot-fix of error in Detection XAI support (#99) * add simple_test two-stage * two-path for saliency map exporting * two-stage detector exception for simple test * remove assertion for class-wise saliency map * fix assertion error in the tiling det * [OTE / XAI] Handle two stage detector in the inferrer.py (#104) * [XAI] hot-fix of error in Detection XAI support (#98) * add simple_test two-stage * two-path for saliency map exporting * two-stage detector exception for simple test * remove assertion for class-wise saliency map * fix assertion error in the tiling det * handle two stage detectorin the inferrer.py * handle two stage detectorin the inferrer.py * handle two stage detectorin the inferrer.py * handle from detector instance checking * accept tuple data * [Hot-fix] Fix zero-division error in one cycle lr scheduler in multilabel classification Co-authored-by: dongkwan-kim <dongkwan.kim@intel.com> Co-authored-by: Soobee Lee <soobee.lee@intel.com>
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@goodsong81 please take into account changes from #118 as well |
goodsong81
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Dec 21, 2022
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| train_data_cfg = Stage.get_data_cfg(cfg, "train") | ||
| otx_dataset = train_data_cfg.get("otx_dataset", None) | ||
| drop_last = False | ||
| dataset_len = len(otx_dataset) if otx_dataset else 0 | ||
| # if task == h-label & dataset size is bigger than batch size | ||
| if train_data_cfg.get("hierarchical_info", None) and dataset_len > cfg.data.get("samples_per_gpu", 2): | ||
| drop_last = True | ||
| # updated to adapt list of dataset for the 'train' |
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@JihwanEom Could you confirm this change?
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Signed-off-by: Songki Choi <songki.choi@intel.com>
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* make logfile saved in save-model-to directory * enable train * make main process train also * bugfix * refactor multi gpu training * make all processs have same output path * prevent child process from being termated by fokred main process * refactor multigpu implementation * refactor multi gpu implementation * modify argument help sentence * add multi gpu test code * align with pre-commit test * separate multi GPU manager class * modify train cli argument 'save-logs-to' to 'output-path' * remove tray excpet during killing child process * apply output_path to all tasks * change print to logger * skip multi gpu test if number of gpu is insufficient * fix typo * multi gpu test bugfix * isort fix * test case bugfix * fix typo and change some variable name * [OTX] Apply changes in develop to feature/otx branch (#1436) * Add tiling module (#1200) * Update submodule branch (#1222) * Enhance training schedule for multi-label classification (#1212) * [CVS-88098] Remove initialize from export functions (#1226) * Train graph added (#1211) * Add @attrs decorator for base configs (#1229) * Pretrained weight download error in MobilenetV3-large-1 of deep-object-reid in SC (#1233) * [Anomaly Task] Revert hpo template (#1230) * 🐞 [Anomaly Task] Fix progress bar (#1223) * [CVS-90555] Fix NaN value in classification (#1244) * update hpo_config.yaml (#1240) * [CVS-90400, CVS-91015] NNCF pruning supported tweaks (#1248) * [Anomaly Task] 🐞 Fix inference when model backbone changes (#1242) * [CVS-91472] Add pruning_supported value (#1263) * Pruning supported tweaks (#1256) * [CVS-90400, CVS-91015] NNCF pruning supported tweaks (#1248) * Revert "[CVS-90400, CVS-91015] NNCF pruning supported tweaks (#1248)" (#1269) * [OTE-TEST] Disable obsolete test cases (#1220) * [OTE-TEST] hot-fix for MPA performance tests (#1273) * [Anomaly Task] ✨ Upgrade anomalib (#1243) * Expose early stopping hyper-parameters for all tasks (#1241) * Resolve pre-commit issues (#1272) * Remove LazyEarlyStopHook in model_multilabel.py (#1281) * Removed xfail (#1239) * Implement IB loss for incremental learning in multi-class classification (#1289) * Edit num_workers and change MPA repo as a latest (#1314) * fix annotation bug (#1320) * Valid POT configs for small HRNet models (#1313) * Disable NNCF optimization for FP16 models (#1312) * fliter object less than 1 pixel (#1305) * Fix some tests (#1322) * [Develop] Move drop_last into MPA (#1357) * Apply changes from releases/v0.3.1-geti1.0.0 (#1337) * anomaly save_model bugfix (#1300) * upgrade networkx module version (#1303) * Forward CVS-94422 size bug fix PR to release branch (#1326) * Valid POT configs for small HRNet models (#1317) * [Release branch] Disable NNCF optimization for FP16 models (#1319) * [RELEASE] CVS-95549 - Hierarchical classification training failed without obvious reason (#1329) * Fix h-label: per-group softmax (#1332) * Fix dataset length bug in mpa task (#1338) * Fix drop_last key issue for det/set (#1340) * Hot-fix for OV inference for iseg output (#1345) * Fix nncf model export bug (#1346) * Fixed merge error (#1359) * Update evaluation iou_thr of ins-seg (#1354) * fix pre-commit test (#1366) * Fix dataset item tests (#1360) * Fix OV Inference issues (tiling tests & detection tests) (#1361) * fix black & add xfail test cases (#1367) * Update check_nncf_graph. (#1330) * [Develop] Hot-fix OV inference issue in rotated detection (#1375) * [Develop] updated documents (#1383) * [CVS-94911] Fix difference between train and validation normalization pipeline (#1310) * Update configs for padim model (#1378) * updated QUICK_START_GUIDE.md (#1397) * Change ote threshold of openvino test for cls (#1401) * Normalize top-1 metrics to [0, 1] (#1394) * Tiling deployment (#1387) * Replace current saliency map generation with Recipro-CAM for cls (#1363) * Class-wise saliency map generation for the detection task (#1402) * Change submodule to develop (#1410) * Send full dataset to POT optimization function (#1379) & Convert NaN to num to make visible in geti UI (#1413) * Add active score evaluation to the classification task * [release/0.4.0][OTX] Enabling GPU execution for exported code (#1416) * [OTE][Release][XAI] Detection fix two stage bbox_head error (#1414) * Update SDK commit for exportable code (#1423) * HRNet-x and HRNe-18--mod2 configs update (#1419) * [Release] Enable tiling oriented detection for v0.4.0/geti1.1.0 (#1427) * [OTE][Releases v0.4.0][XAI] Hot-fix for Detection fix two stage error (#1433) * Temporary MPA branch while dev->otx merge process * Update doc & install for dev->otx changes * Update ote_sdk -> otx.api * Update ote_cli -> otx.cli * Update external/mmsegmentation -> otx/algorithms/segmentation * Align saliency map media instantiation over tasks (#1447) * Update external/d-o-r -> otx/algorithms/classification * Update external/mmdetection -> otx/algorithms/detection * Update external/mpa -> otx/algorithms/* * Fix CLI test run for better error message * Numpy constraint for deprecated np.bool error * Capture stderr only * Align numpy requirement * [OTX/Anomaly] Add changes from external to otx (#1452) * Add changes from external to otx * Address PR comments * Update config files + remove backbone from base * Fix pre-merge checks * Fix pre-commit issues * Update exportable code commit * Fix indent error * Fix flake8 issue * Resolve softmax issue w/ FIXME for future work * Add tiling tests * Revert MPA branch to otx Signed-off-by: Songki Choi <songki.choi@intel.com> Co-authored-by: Eugene Liu <eugene.liu@intel.com> Co-authored-by: Ashwin Vaidya <ashwin.vaidya@intel.com> Co-authored-by: Jaeguk Hyun <jaeguk.hyun@intel.com> Co-authored-by: Nikita Savelyev <nikita.savelyev@intel.com> Co-authored-by: Jihwan Eom <jihwan.eom@intel.com> Co-authored-by: Harim Kang <harim.kang@intel.com> Co-authored-by: Soobee Lee <soobee.lee@intel.com> Co-authored-by: Lee, Soobee <soobeele@intel.com> Co-authored-by: Emily Chun <emily.chun@intel.com> Co-authored-by: ljcornel <ludo.cornelissen@intel.com> Co-authored-by: Eunwoo Shin <eunwoo.shin@intel.com> Co-authored-by: dlyakhov <daniil.lyakhov@intel.com> Co-authored-by: kprokofi <kirill.prokofiev@intel.com> Co-authored-by: Sungman Cho <sungman.cho@intel.com> Co-authored-by: Yunchu Lee <yunchu.lee@intel.com> Co-authored-by: Ashwin Vaidya <ashwinitinvaidya@gmail.com> Co-authored-by: Alexander Dokuchaev <alexander.dokuchaev@intel.com> Co-authored-by: Vladislav Sovrasov <vladislav.sovrasov@intel.com> Co-authored-by: Evgeny Tsykunov <e.tsykunov@gmail.com> Co-authored-by: Galina Zalesskaya <galina.zalesskaya@intel.com> Co-authored-by: dongkwan-kim <dongkwan.kim@intel.com> * Apply latest MPA openvinotoolkit/model_preparation_algorithm#105 Signed-off-by: Songki Choi <songki.choi@intel.com> Signed-off-by: Songki Choi <songki.choi@intel.com> Co-authored-by: eunwoosh <eunwoo.shin@intel.com> Co-authored-by: Eugene Liu <eugene.liu@intel.com> Co-authored-by: Ashwin Vaidya <ashwin.vaidya@intel.com> Co-authored-by: Jaeguk Hyun <jaeguk.hyun@intel.com> Co-authored-by: Nikita Savelyev <nikita.savelyev@intel.com> Co-authored-by: Jihwan Eom <jihwan.eom@intel.com> Co-authored-by: Harim Kang <harim.kang@intel.com> Co-authored-by: Soobee Lee <soobee.lee@intel.com> Co-authored-by: Lee, Soobee <soobeele@intel.com> Co-authored-by: Emily Chun <emily.chun@intel.com> Co-authored-by: ljcornel <ludo.cornelissen@intel.com> Co-authored-by: dlyakhov <daniil.lyakhov@intel.com> Co-authored-by: kprokofi <kirill.prokofiev@intel.com> Co-authored-by: Sungman Cho <sungman.cho@intel.com> Co-authored-by: Yunchu Lee <yunchu.lee@intel.com> Co-authored-by: Ashwin Vaidya <ashwinitinvaidya@gmail.com> Co-authored-by: Alexander Dokuchaev <alexander.dokuchaev@intel.com> Co-authored-by: Vladislav Sovrasov <vladislav.sovrasov@intel.com> Co-authored-by: Evgeny Tsykunov <e.tsykunov@gmail.com> Co-authored-by: Galina Zalesskaya <galina.zalesskaya@intel.com> Co-authored-by: dongkwan-kim <dongkwan.kim@intel.com>
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* make logfile saved in save-model-to directory * enable train * make main process train also * bugfix * refactor multi gpu training * make all processs have same output path * prevent child process from being termated by fokred main process * refactor multigpu implementation * refactor multi gpu implementation * modify argument help sentence * add multi gpu test code * align with pre-commit test * separate multi GPU manager class * modify train cli argument 'save-logs-to' to 'output-path' * remove tray excpet during killing child process * apply output_path to all tasks * change print to logger * skip multi gpu test if number of gpu is insufficient * fix typo * multi gpu test bugfix * isort fix * test case bugfix * fix typo and change some variable name * [OTX] Apply changes in develop to feature/otx branch (#1436) * Add tiling module (#1200) * Update submodule branch (#1222) * Enhance training schedule for multi-label classification (#1212) * [CVS-88098] Remove initialize from export functions (#1226) * Train graph added (#1211) * Add @attrs decorator for base configs (#1229) * Pretrained weight download error in MobilenetV3-large-1 of deep-object-reid in SC (#1233) * [Anomaly Task] Revert hpo template (#1230) * 🐞 [Anomaly Task] Fix progress bar (#1223) * [CVS-90555] Fix NaN value in classification (#1244) * update hpo_config.yaml (#1240) * [CVS-90400, CVS-91015] NNCF pruning supported tweaks (#1248) * [Anomaly Task] 🐞 Fix inference when model backbone changes (#1242) * [CVS-91472] Add pruning_supported value (#1263) * Pruning supported tweaks (#1256) * [CVS-90400, CVS-91015] NNCF pruning supported tweaks (#1248) * Revert "[CVS-90400, CVS-91015] NNCF pruning supported tweaks (#1248)" (#1269) * [OTE-TEST] Disable obsolete test cases (#1220) * [OTE-TEST] hot-fix for MPA performance tests (#1273) * [Anomaly Task] ✨ Upgrade anomalib (#1243) * Expose early stopping hyper-parameters for all tasks (#1241) * Resolve pre-commit issues (#1272) * Remove LazyEarlyStopHook in model_multilabel.py (#1281) * Removed xfail (#1239) * Implement IB loss for incremental learning in multi-class classification (#1289) * Edit num_workers and change MPA repo as a latest (#1314) * fix annotation bug (#1320) * Valid POT configs for small HRNet models (#1313) * Disable NNCF optimization for FP16 models (#1312) * fliter object less than 1 pixel (#1305) * Fix some tests (#1322) * [Develop] Move drop_last into MPA (#1357) * Apply changes from releases/v0.3.1-geti1.0.0 (#1337) * anomaly save_model bugfix (#1300) * upgrade networkx module version (#1303) * Forward CVS-94422 size bug fix PR to release branch (#1326) * Valid POT configs for small HRNet models (#1317) * [Release branch] Disable NNCF optimization for FP16 models (#1319) * [RELEASE] CVS-95549 - Hierarchical classification training failed without obvious reason (#1329) * Fix h-label: per-group softmax (#1332) * Fix dataset length bug in mpa task (#1338) * Fix drop_last key issue for det/set (#1340) * Hot-fix for OV inference for iseg output (#1345) * Fix nncf model export bug (#1346) * Fixed merge error (#1359) * Update evaluation iou_thr of ins-seg (#1354) * fix pre-commit test (#1366) * Fix dataset item tests (#1360) * Fix OV Inference issues (tiling tests & detection tests) (#1361) * fix black & add xfail test cases (#1367) * Update check_nncf_graph. (#1330) * [Develop] Hot-fix OV inference issue in rotated detection (#1375) * [Develop] updated documents (#1383) * [CVS-94911] Fix difference between train and validation normalization pipeline (#1310) * Update configs for padim model (#1378) * updated QUICK_START_GUIDE.md (#1397) * Change ote threshold of openvino test for cls (#1401) * Normalize top-1 metrics to [0, 1] (#1394) * Tiling deployment (#1387) * Replace current saliency map generation with Recipro-CAM for cls (#1363) * Class-wise saliency map generation for the detection task (#1402) * Change submodule to develop (#1410) * Send full dataset to POT optimization function (#1379) & Convert NaN to num to make visible in geti UI (#1413) * Add active score evaluation to the classification task * [release/0.4.0][OTX] Enabling GPU execution for exported code (#1416) * [OTE][Release][XAI] Detection fix two stage bbox_head error (#1414) * Update SDK commit for exportable code (#1423) * HRNet-x and HRNe-18--mod2 configs update (#1419) * [Release] Enable tiling oriented detection for v0.4.0/geti1.1.0 (#1427) * [OTE][Releases v0.4.0][XAI] Hot-fix for Detection fix two stage error (#1433) * Temporary MPA branch while dev->otx merge process * Update doc & install for dev->otx changes * Update ote_sdk -> otx.api * Update ote_cli -> otx.cli * Update external/mmsegmentation -> otx/algorithms/segmentation * Align saliency map media instantiation over tasks (#1447) * Update external/d-o-r -> otx/algorithms/classification * Update external/mmdetection -> otx/algorithms/detection * Update external/mpa -> otx/algorithms/* * Fix CLI test run for better error message * Numpy constraint for deprecated np.bool error * Capture stderr only * Align numpy requirement * [OTX/Anomaly] Add changes from external to otx (#1452) * Add changes from external to otx * Address PR comments * Update config files + remove backbone from base * Fix pre-merge checks * Fix pre-commit issues * Update exportable code commit * Fix indent error * Fix flake8 issue * Resolve softmax issue w/ FIXME for future work * Add tiling tests * Revert MPA branch to otx Signed-off-by: Songki Choi <songki.choi@intel.com> Co-authored-by: Eugene Liu <eugene.liu@intel.com> Co-authored-by: Ashwin Vaidya <ashwin.vaidya@intel.com> Co-authored-by: Jaeguk Hyun <jaeguk.hyun@intel.com> Co-authored-by: Nikita Savelyev <nikita.savelyev@intel.com> Co-authored-by: Jihwan Eom <jihwan.eom@intel.com> Co-authored-by: Harim Kang <harim.kang@intel.com> Co-authored-by: Soobee Lee <soobee.lee@intel.com> Co-authored-by: Lee, Soobee <soobeele@intel.com> Co-authored-by: Emily Chun <emily.chun@intel.com> Co-authored-by: ljcornel <ludo.cornelissen@intel.com> Co-authored-by: Eunwoo Shin <eunwoo.shin@intel.com> Co-authored-by: dlyakhov <daniil.lyakhov@intel.com> Co-authored-by: kprokofi <kirill.prokofiev@intel.com> Co-authored-by: Sungman Cho <sungman.cho@intel.com> Co-authored-by: Yunchu Lee <yunchu.lee@intel.com> Co-authored-by: Ashwin Vaidya <ashwinitinvaidya@gmail.com> Co-authored-by: Alexander Dokuchaev <alexander.dokuchaev@intel.com> Co-authored-by: Vladislav Sovrasov <vladislav.sovrasov@intel.com> Co-authored-by: Evgeny Tsykunov <e.tsykunov@gmail.com> Co-authored-by: Galina Zalesskaya <galina.zalesskaya@intel.com> Co-authored-by: dongkwan-kim <dongkwan.kim@intel.com> * Apply latest MPA openvinotoolkit/model_preparation_algorithm#105 Signed-off-by: Songki Choi <songki.choi@intel.com> Signed-off-by: Songki Choi <songki.choi@intel.com> Co-authored-by: eunwoosh <eunwoo.shin@intel.com> Co-authored-by: Eugene Liu <eugene.liu@intel.com> Co-authored-by: Ashwin Vaidya <ashwin.vaidya@intel.com> Co-authored-by: Jaeguk Hyun <jaeguk.hyun@intel.com> Co-authored-by: Nikita Savelyev <nikita.savelyev@intel.com> Co-authored-by: Jihwan Eom <jihwan.eom@intel.com> Co-authored-by: Harim Kang <harim.kang@intel.com> Co-authored-by: Soobee Lee <soobee.lee@intel.com> Co-authored-by: Lee, Soobee <soobeele@intel.com> Co-authored-by: Emily Chun <emily.chun@intel.com> Co-authored-by: ljcornel <ludo.cornelissen@intel.com> Co-authored-by: dlyakhov <daniil.lyakhov@intel.com> Co-authored-by: kprokofi <kirill.prokofiev@intel.com> Co-authored-by: Sungman Cho <sungman.cho@intel.com> Co-authored-by: Yunchu Lee <yunchu.lee@intel.com> Co-authored-by: Ashwin Vaidya <ashwinitinvaidya@gmail.com> Co-authored-by: Alexander Dokuchaev <alexander.dokuchaev@intel.com> Co-authored-by: Vladislav Sovrasov <vladislav.sovrasov@intel.com> Co-authored-by: Evgeny Tsykunov <e.tsykunov@gmail.com> Co-authored-by: Galina Zalesskaya <galina.zalesskaya@intel.com> Co-authored-by: dongkwan-kim <dongkwan.kim@intel.com>
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Dec 30, 2022
* Initial commit: integrate MPA intothe OTX * Update Self-SL for seg * Enable pre-commit tests by ignoring imports, remove useless requirements * Edit the requirements * Add dist folder * fix black * [OTX] Rebase latest changes for MPA merge (#1468) * make logfile saved in save-model-to directory * enable train * make main process train also * bugfix * refactor multi gpu training * make all processs have same output path * prevent child process from being termated by fokred main process * refactor multigpu implementation * refactor multi gpu implementation * modify argument help sentence * add multi gpu test code * align with pre-commit test * separate multi GPU manager class * modify train cli argument 'save-logs-to' to 'output-path' * remove tray excpet during killing child process * apply output_path to all tasks * change print to logger * skip multi gpu test if number of gpu is insufficient * fix typo * multi gpu test bugfix * isort fix * test case bugfix * fix typo and change some variable name * [OTX] Apply changes in develop to feature/otx branch (#1436) * Add tiling module (#1200) * Update submodule branch (#1222) * Enhance training schedule for multi-label classification (#1212) * [CVS-88098] Remove initialize from export functions (#1226) * Train graph added (#1211) * Add @attrs decorator for base configs (#1229) * Pretrained weight download error in MobilenetV3-large-1 of deep-object-reid in SC (#1233) * [Anomaly Task] Revert hpo template (#1230) * 🐞 [Anomaly Task] Fix progress bar (#1223) * [CVS-90555] Fix NaN value in classification (#1244) * update hpo_config.yaml (#1240) * [CVS-90400, CVS-91015] NNCF pruning supported tweaks (#1248) * [Anomaly Task] 🐞 Fix inference when model backbone changes (#1242) * [CVS-91472] Add pruning_supported value (#1263) * Pruning supported tweaks (#1256) * [CVS-90400, CVS-91015] NNCF pruning supported tweaks (#1248) * Revert "[CVS-90400, CVS-91015] NNCF pruning supported tweaks (#1248)" (#1269) * [OTE-TEST] Disable obsolete test cases (#1220) * [OTE-TEST] hot-fix for MPA performance tests (#1273) * [Anomaly Task] ✨ Upgrade anomalib (#1243) * Expose early stopping hyper-parameters for all tasks (#1241) * Resolve pre-commit issues (#1272) * Remove LazyEarlyStopHook in model_multilabel.py (#1281) * Removed xfail (#1239) * Implement IB loss for incremental learning in multi-class classification (#1289) * Edit num_workers and change MPA repo as a latest (#1314) * fix annotation bug (#1320) * Valid POT configs for small HRNet models (#1313) * Disable NNCF optimization for FP16 models (#1312) * fliter object less than 1 pixel (#1305) * Fix some tests (#1322) * [Develop] Move drop_last into MPA (#1357) * Apply changes from releases/v0.3.1-geti1.0.0 (#1337) * anomaly save_model bugfix (#1300) * upgrade networkx module version (#1303) * Forward CVS-94422 size bug fix PR to release branch (#1326) * Valid POT configs for small HRNet models (#1317) * [Release branch] Disable NNCF optimization for FP16 models (#1319) * [RELEASE] CVS-95549 - Hierarchical classification training failed without obvious reason (#1329) * Fix h-label: per-group softmax (#1332) * Fix dataset length bug in mpa task (#1338) * Fix drop_last key issue for det/set (#1340) * Hot-fix for OV inference for iseg output (#1345) * Fix nncf model export bug (#1346) * Fixed merge error (#1359) * Update evaluation iou_thr of ins-seg (#1354) * fix pre-commit test (#1366) * Fix dataset item tests (#1360) * Fix OV Inference issues (tiling tests & detection tests) (#1361) * fix black & add xfail test cases (#1367) * Update check_nncf_graph. (#1330) * [Develop] Hot-fix OV inference issue in rotated detection (#1375) * [Develop] updated documents (#1383) * [CVS-94911] Fix difference between train and validation normalization pipeline (#1310) * Update configs for padim model (#1378) * updated QUICK_START_GUIDE.md (#1397) * Change ote threshold of openvino test for cls (#1401) * Normalize top-1 metrics to [0, 1] (#1394) * Tiling deployment (#1387) * Replace current saliency map generation with Recipro-CAM for cls (#1363) * Class-wise saliency map generation for the detection task (#1402) * Change submodule to develop (#1410) * Send full dataset to POT optimization function (#1379) & Convert NaN to num to make visible in geti UI (#1413) * Add active score evaluation to the classification task * [release/0.4.0][OTX] Enabling GPU execution for exported code (#1416) * [OTE][Release][XAI] Detection fix two stage bbox_head error (#1414) * Update SDK commit for exportable code (#1423) * HRNet-x and HRNe-18--mod2 configs update (#1419) * [Release] Enable tiling oriented detection for v0.4.0/geti1.1.0 (#1427) * [OTE][Releases v0.4.0][XAI] Hot-fix for Detection fix two stage error (#1433) * Temporary MPA branch while dev->otx merge process * Update doc & install for dev->otx changes * Update ote_sdk -> otx.api * Update ote_cli -> otx.cli * Update external/mmsegmentation -> otx/algorithms/segmentation * Align saliency map media instantiation over tasks (#1447) * Update external/d-o-r -> otx/algorithms/classification * Update external/mmdetection -> otx/algorithms/detection * Update external/mpa -> otx/algorithms/* * Fix CLI test run for better error message * Numpy constraint for deprecated np.bool error * Capture stderr only * Align numpy requirement * [OTX/Anomaly] Add changes from external to otx (#1452) * Add changes from external to otx * Address PR comments * Update config files + remove backbone from base * Fix pre-merge checks * Fix pre-commit issues * Update exportable code commit * Fix indent error * Fix flake8 issue * Resolve softmax issue w/ FIXME for future work * Add tiling tests * Revert MPA branch to otx Signed-off-by: Songki Choi <songki.choi@intel.com> Co-authored-by: Eugene Liu <eugene.liu@intel.com> Co-authored-by: Ashwin Vaidya <ashwin.vaidya@intel.com> Co-authored-by: Jaeguk Hyun <jaeguk.hyun@intel.com> Co-authored-by: Nikita Savelyev <nikita.savelyev@intel.com> Co-authored-by: Jihwan Eom <jihwan.eom@intel.com> Co-authored-by: Harim Kang <harim.kang@intel.com> Co-authored-by: Soobee Lee <soobee.lee@intel.com> Co-authored-by: Lee, Soobee <soobeele@intel.com> Co-authored-by: Emily Chun <emily.chun@intel.com> Co-authored-by: ljcornel <ludo.cornelissen@intel.com> Co-authored-by: Eunwoo Shin <eunwoo.shin@intel.com> Co-authored-by: dlyakhov <daniil.lyakhov@intel.com> Co-authored-by: kprokofi <kirill.prokofiev@intel.com> Co-authored-by: Sungman Cho <sungman.cho@intel.com> Co-authored-by: Yunchu Lee <yunchu.lee@intel.com> Co-authored-by: Ashwin Vaidya <ashwinitinvaidya@gmail.com> Co-authored-by: Alexander Dokuchaev <alexander.dokuchaev@intel.com> Co-authored-by: Vladislav Sovrasov <vladislav.sovrasov@intel.com> Co-authored-by: Evgeny Tsykunov <e.tsykunov@gmail.com> Co-authored-by: Galina Zalesskaya <galina.zalesskaya@intel.com> Co-authored-by: dongkwan-kim <dongkwan.kim@intel.com> * Apply latest MPA openvinotoolkit/model_preparation_algorithm#105 Signed-off-by: Songki Choi <songki.choi@intel.com> Signed-off-by: Songki Choi <songki.choi@intel.com> Co-authored-by: eunwoosh <eunwoo.shin@intel.com> Co-authored-by: Eugene Liu <eugene.liu@intel.com> Co-authored-by: Ashwin Vaidya <ashwin.vaidya@intel.com> Co-authored-by: Jaeguk Hyun <jaeguk.hyun@intel.com> Co-authored-by: Nikita Savelyev <nikita.savelyev@intel.com> Co-authored-by: Jihwan Eom <jihwan.eom@intel.com> Co-authored-by: Harim Kang <harim.kang@intel.com> Co-authored-by: Soobee Lee <soobee.lee@intel.com> Co-authored-by: Lee, Soobee <soobeele@intel.com> Co-authored-by: Emily Chun <emily.chun@intel.com> Co-authored-by: ljcornel <ludo.cornelissen@intel.com> Co-authored-by: dlyakhov <daniil.lyakhov@intel.com> Co-authored-by: kprokofi <kirill.prokofiev@intel.com> Co-authored-by: Sungman Cho <sungman.cho@intel.com> Co-authored-by: Yunchu Lee <yunchu.lee@intel.com> Co-authored-by: Ashwin Vaidya <ashwinitinvaidya@gmail.com> Co-authored-by: Alexander Dokuchaev <alexander.dokuchaev@intel.com> Co-authored-by: Vladislav Sovrasov <vladislav.sovrasov@intel.com> Co-authored-by: Evgeny Tsykunov <e.tsykunov@gmail.com> Co-authored-by: Galina Zalesskaya <galina.zalesskaya@intel.com> Co-authored-by: dongkwan-kim <dongkwan.kim@intel.com> * Resolve some flake8 issues * Fix semisl trainer import (#1471) Co-authored-by: Lee, Soobee <soobeele@intel.com> * Fixisort * Rebase and fix isort Signed-off-by: Songki Choi <songki.choi@intel.com> Co-authored-by: Songki Choi <songki.choi@intel.com> Co-authored-by: eunwoosh <eunwoo.shin@intel.com> Co-authored-by: Eugene Liu <eugene.liu@intel.com> Co-authored-by: Ashwin Vaidya <ashwin.vaidya@intel.com> Co-authored-by: Jaeguk Hyun <jaeguk.hyun@intel.com> Co-authored-by: Nikita Savelyev <nikita.savelyev@intel.com> Co-authored-by: Jihwan Eom <jihwan.eom@intel.com> Co-authored-by: Harim Kang <harim.kang@intel.com> Co-authored-by: Soobee Lee <soobee.lee@intel.com> Co-authored-by: Lee, Soobee <soobeele@intel.com> Co-authored-by: Emily Chun <emily.chun@intel.com> Co-authored-by: ljcornel <ludo.cornelissen@intel.com> Co-authored-by: dlyakhov <daniil.lyakhov@intel.com> Co-authored-by: kprokofi <kirill.prokofiev@intel.com> Co-authored-by: Yunchu Lee <yunchu.lee@intel.com> Co-authored-by: Ashwin Vaidya <ashwinitinvaidya@gmail.com> Co-authored-by: Alexander Dokuchaev <alexander.dokuchaev@intel.com> Co-authored-by: Vladislav Sovrasov <vladislav.sovrasov@intel.com> Co-authored-by: Evgeny Tsykunov <e.tsykunov@gmail.com> Co-authored-by: Galina Zalesskaya <galina.zalesskaya@intel.com> Co-authored-by: dongkwan-kim <dongkwan.kim@intel.com>
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